Purpose:The main objective of the paper is to present the possibilities of using the Port Community System (PCS) as an integrated IT system in the area of ship-generated waste management in the context of sustainable circular economy in seaports. Project/methodology/approach: The research carried out enabled the development of a model for ship-generated waste management in seaports using the PSC IT system. Such measures should contribute to the protection and improvement of the status of the environment, as well as result in measurable economic benefits in the future. Findings: The PCS IT system presented in this paper enables sustainable waste management encompassing the circular economy approach. This platform optimises, manages, automates and improves the performance of a range of port processes through a single submission of data, connecting them in a coherent system and reducing the administrative burden. Practical Implications: The PCS-based module to ship-generated waste management have been identified a continuous ship monitoring with regards to waste, provision of thorough control over waste movement (system tightening up), transparent information overview (permanent view of all activity stages). This interactive collaboration tool allows for optimal cooperation between port companies and European Union seaports. Originality/value: Considering the concept of circular economy, which offers a great opportunity to improve business processes, a waste management model with the PCS may serve as the basis for the development of logistics chains for waste and for the elimination of undesirable incidents caused by poor management practices with respect to ship-generated waste and cargo residues in ports.

No abstract

This paper presents a concept, developed and tested by the authors, of a virtualisation environment enabling the protection of aggregated data through the use of high availability (HA) of IT systems. The presented solution allows securing the central database system and virtualised server machines by using a scalable environment consisting of physical servers and disk arrays. The authors of this paper focus on ensuring the continuity of system operation and on minimising the risk of failures related to the availability of the operational data analysis system.